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Division Spotlight
Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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BREAKING NEWS: Trump issues executive orders to overhaul nuclear industry
The Trump administration issued four executive orders today aimed at boosting domestic nuclear deployment ahead of significant growth in projected energy demand in the coming decades.
During a live signing in the Oval Office, President Donald Trump called nuclear “a hot industry,” adding, “It’s a brilliant industry. [But] you’ve got to do it right. It’s become very safe and environmental.”
Clinton T. Ballinger, James A. Rathkopf, William R. Martin
Nuclear Science and Engineering | Volume 112 | Number 4 | December 1992 | Pages 283-295
Technical Paper | doi.org/10.13182/NSE92-A23978
Articles are hosted by Taylor and Francis Online.
A new method, response history Monte Carlo (RHMC), has been developed for solving electron transport problems through homogeneous material, and it is more accurate than the conventional method for energies below a few hundred kilo-electron-volts. Since electrons can suffer thousands of collisions and lose only a fraction of their incident energy, analog Monte Carlo (single scatter) is extremely time-consuming. The conventional electron transport method avoids simulating single scattering events by modeling the effect of multiple collisions. This condensed history method requires assumptions that are invalid at lower energies to analytically determine probability distribution functions (pdfs) representing the electron state after multiple collisions. Like the condensed history method, the RHMC method uses an approximate random walk where each step represents the cumulative effect of many collisions. However, the RHMC method is more accurate than the condensed history method since the multiscattered electron state is sampled from pdfs predetermined by analog Monte Carlo calculations instead of approximate analytic solutions.